基于非标记理论-可疑因素分析的神经网络重构犯罪现场

1993 Proceedings of IEEE International Carnahan Conference on Security Technology Pub Date : 1993-10-13 DOI:10.1109/CCST.1993.386820

C. Kou, J.-M. Shih, C.-h. Lin, Z.-D. Lee

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引用次数: 4

摘要

提出了一种犯罪现场调查的非标记理论方法。利用反向传播网络模型对可疑因素进行分析，建立一个动态的知识基础，为调查人员提供帮助。

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An application of neural networks to reconstruct crime scene based on non-mark theory-suspicious factors analysis

A non-mark theory methodology for investigating crime scenes is proposed. A back propagation network model is used to analyze suspicion factors in order to setup a dynamic knowledge based to help investigators.<>

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1993 Proceedings of IEEE International Carnahan Conference on Security Technology

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